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DbVisualizer VS Plotly

Compare DbVisualizer VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

DbVisualizer logo DbVisualizer

DbVisualizer is the universal database client and SQL tool built for developers, analysts, DBAs, data engineers, and anyone working with data.

Plotly logo Plotly

Low-Code Data Apps
  • DbVisualizer Screenshot set
    Screenshot set //
    2024-09-17

Key features in DbVisualizer include :

  • A powerful SQL editor with intelligent autocomplete, visual query builders, variables, and query execution tools
  • A built-in AI Assistant to ask questions, explain errors, and analyze code
  • Built-in Git integration for managing SQL scripts and collaborating with your team
  • Customizable window layouts, key bindings, and UI themes
  • The ability to mark scripts or database objects as favorites for quick access
  • Configurable security settings to meet organizational requirements

DbVisualizer connects to many popular databases through JDBC drivers, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. It runs on Windows, macOS, and Linux.

With nearly 7 million downloads and Pro users in 150 countries, DbVisualizer scales from solo projects to enterprise-grade database management.

  • Plotly Landing page
    Landing page //
    2023-07-31

DbVisualizer

Website
dbvis.com
Pricing URL
Official DbVisualizer Pricing
$ Details
freemium $199.0 / One-off (Renew for $89/year to receive updates 2nd year onwards.)
Platforms
Windows MacOS Linux
Release Date
2002 January
Startup details
Country
Sweden
Founder(s)
Roger Bjรคrevall
Employees
20 - 49
Edit details

Plotly

Website
plotly.com
Pricing URL
Official Plotly Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

DbVisualizer features and specs

  • Support for Multiple Databases
    It supports a wide range of databases (e.g., MySQL, PostgreSQL, Oracle, SQL Server, DB2, etc.), which allows users to manage different database systems using a single tool.
  • Advanced SQL Editor
    DbVisualizer provides an advanced SQL editor with features such as syntax highlighting, auto-completion, code folding, and SQL formatting, improving productivity for developers.
  • Git
    Version control your scripts and connections with GitHub, BitBucket or other Git-based platform
  • Data Visualization
    It offers various data visualization options like charts and diagrams, which help users better understand their data at a glance.
  • Performance Monitoring
    The tool includes features to monitor database performance, run diagnostics, and identify performance bottlenecks.
  • Extensive Documentation
    DbVisualizer has comprehensive documentation and a supportive community, making it easier for users to learn and resolve issues.
  • User-Friendly Interface
    The software has an intuitive and user-friendly interface, including features like a graphical query builder, which makes it easier for users to create complex queries without extensive SQL knowledge.
  • Cross-Platform Compatibility
    DbVisualizer is available on major platforms including Windows, macOS, and Linux, making it a versatile tool for developers working in different environments.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of DbVisualizer

Overall verdict

  • Overall, DbVisualizer is a well-rounded database management tool that is highly rated by users for its versatility, ease of use, and robust feature set. It is particularly appreciated by those who need to manage multiple types of databases within a single interface.

Why this product is good

  • DbVisualizer is considered a good tool because it offers a comprehensive set of features for database management and analysis. It supports a wide range of databases, including Oracle, SQL Server, MySQL, PostgreSQL, and many others. The tool provides a user-friendly interface, powerful data visualization capabilities, and advanced features like query optimization and performance tuning. Additionally, it allows for easy connection setup and efficient database administration.

Recommended for

    DbVisualizer is recommended for database administrators, developers, and data analysts who work with multiple database systems and require a reliable, versatile tool for database management, performance optimization, and data analysis. It's especially useful for those who appreciate a unified, cross-platform solution with strong visualization capabilities.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

DbVisualizer videos

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Plotly videos

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Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to DbVisualizer and Plotly)

DbVisualizer

Plotly

Database Management
100 100%
Database Management
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Databases
100 100%
Databases
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DbVisualizer and Plotly

DbVisualizer Reviews

  1. V Sheregar
    ยท director at pacificspecialty insurance company ยท
    useful tool

    simple to use, versatile and increases productivity

    ๐Ÿ‘ Pros:    One tool for multiple db visualization
  2. Amedeo Zottola
    ยท Software Architect at GSD Sistemi e Servizi ยท
    One of the best develop's tool for database

    I use DbVisualize since 2004... My personal idea is that DBVisualize is the best tool to develop complex SQL query, trigger, stored procedure...dbvis has a very simple export function to convert a query result in various format (csv, xlsx, JSON, SQL) In addition, dbvis has a very simple function to import flat data file into a table, or to generate DDL of entire database. another great functionality is a graphical editor to create a complex joins between two or more tables. Without dbvis my work be impossible!!!

    ๐Ÿ Competitors: Aqua Data Studio, IntelliJ IDEA
    ๐Ÿ‘ Pros:    Simple yet powerful and efficient tool|Great customer support
Top 8 PostgreSQL GUI Tools with AI for 2026
Recent versions also introduce an integrated AI assistant that can help generate SQL queries, explain query logic, and troubleshoot database issues directly inside the interface. Combined with strong cross-database support and consistent performance across platforms, DbVisualizer is widely used in professional database workflows.
Source: dbajamey.github.io
Top Free SQL Database Software and GUI Tools
DbVisualizer is a universal database tool for developers, DBAs, and analysts, designed to be user-friendly and suitable for varying levels of expertise in database management. Moreover, it is a multidatabase solution that supports a range of popular DBMSs and offers a convenient GUI, letting the users speed up their routine tasks.
Source: www.devart.com
Best GUI Client for SQL Databases
DbVisualizer is a database GUI tool that offers a free version with limited functionality and a PRO subscription with a query builder, table export and import, charts, client-side commands, and table management. Within this toolโ€™s PRO version, youโ€™ll be able to perform most of the basic database development and design tasks.
Source: blog.devart.com
Best SQL Server GUI Tools for Database Management on macOS
DbVisualizer is a cross-platform solution tailored for database developers, administrators, and data analysts. It supports a variety of database systems, including SQL Server and Azure SQL Database, and provides users with a set of helpful features for efficient database design, management, and maintenance.
Source: blog.devart.com
Top 16 MySQL GUI Clients for Mac
DbVisualizer is a smart and well-focused SQL editor and database manager, marketed as a database client with the highest customer satisfaction rating on G2. It is a valuable solution that enables you to work with SQL code, access and explore your databases, and manipulate data. DbVisualizer is available in Free and Pro editions.
Source: www.devart.com

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DbVisualizer mentions (0)

We have not tracked any mentions of DbVisualizer yet. Tracking of DbVisualizer recommendations started around Mar 2021.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing DbVisualizer and Plotly, you can also consider the following products

DBeaver - DBeaver - Universal Database Manager and SQL Client.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

DataGrip - Tool for SQL and databases

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

SQL Developer - Oracle SQL Developer is a free, development environment that simplifies the management of Oracle Database in both traditional and Cloud deployments.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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